Welcome to this hands-on session — we're taking AI into real-world healthcare delivery 🚀.
Instead of just theory, we'll build a prototype conversational bot leveraging UlizaLlama, supporting English & Swahili (and potentially other languages). This bot can be used as a backend for WhatsApp messaging.
📌 Follow along in Colab:
🔄 What's in this lesson? This practical is designed to help participants go from setup to a working AI health assistant chatbot:
- Loading UlizaLlama
- Prompt design / wrapper
- Simple chat loop
- Safety / filtering logic
- (Discussion) WhatsApp integration
- Deploying AI solutions in low-resource environments
Content: AI for Health , Conversational System
Level: Beginner
🎯 Learning Objectives
By the end of this session, participants will be able to:
- Load and use UlizaLlama in Colab
- Craft prompts / wrappers for health domain conversations
- Add basic safety filters
- Understand integration path to WhatsApp APIs
Prerequisites:
- Python familiarity
- Basic knowledge of transformers / prompt engineering
- Curiosity about digital health innovation